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This model is a fine-tuned version of microsoft/resnet-50 on the cifar100 dataset. It achieves the following results on the evaluation set:

Model description

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Overall Accuracy	Unlearn Overall Accuracy	Time
No log	1.0	391	0.6813	0.8662	0.2508	0.2508	None
1.6242	2.0	782	0.6915	0.8668	0.2499	0.2499	None
1.3877	3.0	1173	0.6780	0.876	0.2360	0.2360	None
1.2989	4.0	1564	0.6818	0.873	0.2407	0.2407	None
1.2989	5.0	1955	0.6872	0.8684	0.2477	0.2477	None
1.2337	6.0	2346	0.6632	0.8754	0.2372	0.2372	None
1.1757	7.0	2737	0.6685	0.8668	0.2504	0.2504	None
1.1367	8.0	3128	0.6793	0.8494	0.2767	0.2767	None
1.0964	9.0	3519	0.6773	0.8452	0.2828	0.2828	None
1.0964	10.0	3910	0.6683	0.8362	0.2960	0.2960	None
1.0586	11.0	4301	0.6754	0.8298	0.3053	0.3053	None
1.0437	12.0	4692	0.6678	0.8328	0.3010	0.3010	None
1.0108	13.0	5083	0.6734	0.8178	0.3223	0.3223	None
1.0108	14.0	5474	0.6724	0.799	0.3484	0.3484	None
0.9883	15.0	5865	0.6750	0.7944	0.3547	0.3547	None
0.9687	16.0	6256	0.6736	0.7898	0.3609	0.3609	None
0.9462	17.0	6647	0.6812	0.7748	0.3807	0.3807	None
0.94	18.0	7038	0.6761	0.78	0.3739	0.3739	None
0.94	19.0	7429	0.6754	0.772	0.3844	0.3844	None
0.925	20.0	7820	0.6777	0.7692	0.3881	0.3881	None